Publications by authors named "L M Schriml"
Article Synopsis
- DNA/RNA-stable isotope probing (SIP) connects microbial activity to sequencing data, providing insights into microbial metabolism and community dynamics.
- A review of SIP sequencing metadata revealed that many critical details necessary for reproducibility are often missing, prompting the need for the Minimum Information for any Stable Isotope Probing Sequence (MISIP) standard.
- The MISIP standard outlines five key metadata fields for SIP experiments and aims to enhance metadata collection practices to facilitate better data reuse and improve understanding of microbial ecology and biogeochemical processes.
In biomedical research, validating a scientific discovery hinges on the reproducibility of its experimental results. However, in genomics, the definition and implementation of reproducibility remain imprecise. We argue that genomic reproducibility, defined as the ability of bioinformatics tools to maintain consistent results across technical replicates, is essential for advancing scientific knowledge and medical applications.
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- Comparative analysis of genomes requires collecting and integrating high-quality data using standardized protocols.
- The Genomic Standards Consortium (GSC) works with researchers to create and uphold the MIxS reporting standard for genomic data.
- This document explains MIxS structure and terminology, guides users on finding necessary terms, and includes a practical example using soil metagenomes.
In 2003, the Human Disease Ontology (DO, https://disease-ontology.org/) was established at Northwestern University. In the intervening 20 years, the DO has expanded to become a highly-utilized disease knowledge resource.
View Article and Find Full Text PDFThe standardization of data, encompassing both primary and contextual information (metadata), plays a pivotal role in facilitating data (re-)use, integration, and knowledge generation. However, the biodiversity and omics communities, converging on omics biodiversity data, have historically developed and adopted their own distinct standards, hindering effective (meta)data integration and collaboration. In response to this challenge, the Task Group (TG) for Sustainable DwC-MIxS Interoperability was established.
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